Vehicle driving situation data recognition and modification method

Abstract

The invention provides a vehicle driving situation data recognition and modification method. The method comprises the following steps: acquiring vehicle road driving testing data by using a vehicle speed recorder, judging the validity of a speed signal according to the positioning state of the speed signal, the continuity of a time signal, a speed limiting value method and an acceleration limiting value method; calculating the lasting time of problem data of invalid positioning, speed loss, speed over-limiting and acceleration over-limiting; judging whether the singularity data can be modified or not according to the lasting time; if the singularity data can be modified, modifying the singularity data, and if the singularity data cannot be modified, rejecting the whole group of testing data. By adopting the method, the influence that the validity of the whole testing data is reduced because of a small number of singularity data is eliminated, original data are reconstructed, the validity of the testing data is improved, the uncertainty in the process that the singularity data in the vehicle speed signal are recognized according to subjective judgment and experience and knowledge of people is solved, the accuracy and the efficiency in recognition are improved, and the vehicle speed signal recognition and modification can be repeated.

Description

technical field [0001] The invention relates to the field of data analysis of vehicle driving conditions, in particular to a method for identifying and correcting singular phenomena in vehicle speed signals in vehicle driving condition data. Background technique [0002] Vehicle driving conditions reflect the kinematics characteristics of vehicle driving in a specific traffic environment, and take the speed-time process as a characteristic form of expression. Vehicle driving conditions come from a large amount of actual traffic operation data. By using relevant mathematical theoretical methods, a quantitative description of road vehicle driving conditions is established. The main purpose of the research on driving conditions is to determine vehicle pollutant emissions, fuel consumption, technology development and evaluation of new models, and measurement of traffic control. It is a common core technology in automotive research. [0003] Obtaining road driving process data i...

AI Technical Summary

Problems solved by technology

[0003] Obtaining road driving process data is the premise of realizing the research of working conditions. The driving condition data recorder composed of GPS is a relatively feasible technical solution in the prior art. However, because GPS relies on the data exchange between heaven and earth, a certain Affected by the road environment, vehicle conditions and climate conditions to a certain extent, there are inevitably data singularities in the actual operation process, that is, due to the transmission problem of the sky-ground signal, the positioning will be invalid, the speed signal will be lost or exceed the limit, etc. Phenomena that lead to deviations from the actual value

Usually, the four characteristics of idling wait-acceleration start-uniform speed driving-deceleration stop are used as a basic kinematics segment, and the kinematics segment is used as the smallest data segment for data processing. If the above-mentioned singular phenomenon exists in this data segment, generally This segment is excluded from the data segment data set to be analyzed and processed, that is, due to individual data problems affecting the segment data, resulting in a waste of experimental data

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